Digital Twin Model of Rhizophora apiculata Based on Salinity Factors

This study is based on the Attimis model of the canopy and the prop root morphology of the Rhizophora apiculata, delved into the substructures of canopy growth and complex root generation diagrams, and subsequently carried out L-system modeling. The growth process was aligned with the Logistics growth curve, and experimental data on the impact of salinity on Rhizophora apiculata growth were fitted with the parameters in the L-system productions. Ultimately, a digital twin model of Rhizophora apiculata based on salinity factors was developed. This research aims to uncover the mechanisms of how salinity changes affect Rhizophora apiculata growth, providing a scientific basis for the protection and management of mangroves.

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Published
2024-12-27
DOI
https://doi.org/10.1109/icvrv62410.2024.00044
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Digital Twin Model of Rhizophora apiculata Based on Salinity Factors

Gustavo Alomía, Andrea Pilco, Ying Li, Xun Luo
Remote Sensing and Land Use
article

Digital Twin Model of Rhizophora apiculata Based on Salinity Factors

Gustavo Alomía, Andrea Pilco, Ying Li, Xun Luo
article en

Abstract

This study is based on the Attimis model of the canopy and the prop root morphology of the Rhizophora apiculata, delved into the substructures of canopy growth and complex root generation diagrams, and subsequently carried out L-system modeling. The growth process was aligned with the Logistics growth curve, and experimental data on the impact of salinity on Rhizophora apiculata growth were fitted with the parameters in the L-system productions. Ultimately, a digital twin model of Rhizophora apiculata based on salinity factors was developed. This research aims to uncover the mechanisms of how salinity changes affect Rhizophora apiculata growth, providing a scientific basis for the protection and management of mangroves.

Tianjin University of Technology (CN), Universidad Santiago de Cali (CO), Universidad Internacional del Ecuador (EC)
Zero hunger
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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